Evidence map›Paper›PMID 28915633›Full record

ArticleOncotarget2017

Selection of optimal molecular targets for tumor-specific imaging in pancreatic ductal adenocarcinoma.

Willemieke S Tummers, Arantza Farina-Sarasqueta, Martin C Boonstra, Hendrica A Prevoo, Cornelis F Sier, Jan S Mieog, Johannes Morreau, Casper H van Eijck, Peter J Kuppen, Cornelis J van de Velde and 3 more

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
2.4field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

26 citing papers in PubMed, 37 citations in OpenAlex.

  1. Review
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  7. Selection of potential targets for stratifying congenital pulmonary airway malformation patients with molecular imaging: is MUC1 the one?European respiratory review : an official journal of the European Respiratory Society · 2023
    Review
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  9. Preclinical Evaluation ofJournal of nuclear medicine : official publication, Society of Nuclear Medicine · 2023
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  16. A protease-activated, near-infrared fluorescent probe for early endoscopic detection of premalignant gastrointestinal lesions.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors at 2 institutions in 1 country.

Willemieke S TummersDepartment of Surgery, Leiden University Medical Center, Leiden, The Netherlands.
Arantza Farina-SarasquetaDepartment of Pathology, Leiden University Medical Center, Leiden, The Netherlands.
Martin C BoonstraDepartment of Surgery, Leiden University Medical Center, Leiden, The Netherlands.
Hendrica A PrevooDepartment of Surgery, Leiden University Medical Center, Leiden, The Netherlands.
Cornelis F SierDepartment of Surgery, Leiden University Medical Center, Leiden, The Netherlands.
Jan S MieogDepartment of Surgery, Leiden University Medical Center, Leiden, The Netherlands.
Johannes MorreauDepartment of Pathology, Leiden University Medical Center, Leiden, The Netherlands.
Casper H van EijckDepartment of Surgery, Erasmus Medical Center, Rotterdam, The Netherlands.
Peter J KuppenDepartment of Surgery, Leiden University Medical Center, Leiden, The Netherlands.
Cornelis J van de VeldeDepartment of Surgery, Leiden University Medical Center, Leiden, The Netherlands.
Bert A BonsingDepartment of Surgery, Leiden University Medical Center, Leiden, The Netherlands.
Alexander L VahrmeijerDepartment of Surgery, Leiden University Medical Center, Leiden, The Netherlands.
Rutger-Jan SwijnenburgDepartment of Surgery, Leiden University Medical Center, Leiden, The Netherlands.
Leiden University Medical Center · NLErasmus MC · NL

Funding

European Research Council 323105
6 · The paper itself

Abstract

Discrimination of pancreatic ductal adenocarcinoma (PDAC) from chronic pancreatitis (CP) or peritumoral inflammation is challenging, both at preoperative imaging and during surgery, but it is crucial for proper therapy selection. Tumor-specific molecular imaging aims to enhance this discrimination and to help select and stratify patients for resection. We evaluated various biomarkers for the specific identification of PDAC and associated lymph node metastases. Using immunohistochemistry (IHC), expression levels and patterns were investigated of integrin αvβ6, carcinoembryonic antigen-related cell adhesion molecule 5 (CEACAM5), Cathepsin E (Cath E), epidermal growth factor receptor (EGFR), hepatocyte growth factor receptor (c-MET), thymocyte differentiation antigen 1 (Thy1), and urokinase-type plasminogen activator receptor (uPAR). In a first cohort, multiple types of pancreatic tissue were evaluated (n=62); normal pancreatic tissue (n=8), CP (n=7), PDAC (n=9), tumor associated lymph nodes (n=32), and PDAC after neoadjuvant radiochemotherapy (n=6). In a second cohort, tissues were investigated (n=55) with IHC and immunofluorescence (IF) for concordance of biomarker expression in all tissue types, obtained from an individual patient. Integrin αvβ6 and CEACAM5 showed significantly higher expression levels in PDAC versus normal pancreatic tissue (P=0.001 and P<0.001, respectively) and CP (P=0.003 and P<0.001, respectively). Avβ6 and CEACAM5 expression identified tumor-positive lymph nodes correctly in 84% and 68%, respectively, and in 100% of tumor-negative nodes for both biomarkers. In conclusion, αvβ6 and CEACAM5 are excellent biomarkers to differentiate PDAC from surrounding tissue and to identify lymph node metastases. Individually or combined, these biomarkers are promising targets for tumor-specific molecular imaging of PDAC.

Indexed as

biomarkermolecular imagingpancreatic cancer

Identifiers

PMID28915633
PMCPMC5593604
OpenAlexW2618302111

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.